Evidence map›Paper›PMID 40021767›Full record

ArticleScientific reports2025

Relationship between renal oxidative stress levels and disease severity in patients with chronic kidney disease assessed by [Cu-64]ATSM PET/MRI.

Ya'nan Huang, Yudai Nishikawa, Tetsuya Mori, Munenobu Nogami, Akira Makino, Yasushi Kiyono, Tadashi Toyama, Hidehiko Okazawa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ya'nan HuangBiomedical Imaging Research Center, University of Fukui, 23-3, Matsuoka-Shimaizuki, Eiheiji-cho, Fukui, 910-1193, Japan.
Yudai NishikawaDepartment of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Tetsuya MoriBiomedical Imaging Research Center, University of Fukui, 23-3, Matsuoka-Shimaizuki, Eiheiji-cho, Fukui, 910-1193, Japan.
Munenobu NogamiBiomedical Imaging Research Center, University of Fukui, 23-3, Matsuoka-Shimaizuki, Eiheiji-cho, Fukui, 910-1193, Japan.
Akira MakinoBiomedical Imaging Research Center, University of Fukui, 23-3, Matsuoka-Shimaizuki, Eiheiji-cho, Fukui, 910-1193, Japan.
Yasushi KiyonoBiomedical Imaging Research Center, University of Fukui, 23-3, Matsuoka-Shimaizuki, Eiheiji-cho, Fukui, 910-1193, Japan.
Tadashi ToyamaDepartment of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
Hidehiko OkazawaBiomedical Imaging Research Center, University of Fukui, 23-3, Matsuoka-Shimaizuki, Eiheiji-cho, Fukui, 910-1193, Japan. okazawa@u-fukui.ac.jp.ORCID http://orcid.org/0000-0001-7046-3383

Funding

Japan Society for the Promotion of Science 18H02763Japan Society for the Promotion of Science 22H03017University of Fukui Fund for the Promotion of Collaborative Research 2022-2023
6 · The paper itself

Abstract

The purpose of the study was to investigate renal oxidative stress (OS) and its relationship with disease severity in patients with chronic kidney disease (CKD) using positron emission tomography coupled with magnetic resonance imaging (PET/MRI), employing

Indexed as

KidneyMagnetic Resonance ImagingOrganometallic CompoundsOxidative StressPositron-Emission TomographyRenal Insufficiency, ChronicThiosemicarbazonesAgedCase-Control StudiesCoordination ComplexesCopper RadioisotopesFemaleGlomerular Filtration RateHumansMaleMiddle AgedCoordination Complexescopper (II) diacetyl-di(N(4)-methylthiosemicarbazone)Copper RadioisotopesOrganometallic CompoundsThiosemicarbazones64Cu-ATSMChronic kidney diseaseOxidative stressPET/MRI

Identifiers

PMID40021767
PMCPMC11871321

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.